UnivIS
Information system of Friedrich-Alexander-University Erlangen-Nuremberg © Config eG 
FAU Logo
  Collection/class schedule    module collection Home  |  Legal Matters  |  Contact  |  Help    
search:      semester:   
 
 Layout
 
printable version

 
 
Module Description Sheet (PDF)

 
 
 Also in UnivIS
 
course list

lecture directory

 
 
events calendar

job offers

furniture and equipment offers

 
 

Game Theory with Applications to Information Engineering (GTIE)2.5 ECTS
(englische Bezeichnung: Game Theory with Applications to Information Engineering)

Modulverantwortliche/r: Veronika Grimm
Lehrende: Veronika Grimm, Assistenten


Start semester: SS 2022Duration: 1 semesterCycle: jährlich (SS)
Präsenzzeit: 30 Std.Eigenstudium: 45 Std.Language: Englisch

Lectures:


Inhalt:

The course is an introduction to the fundamentals of game theory and mechanism design to enable a rigorous analysis of strategic market interaction. It covers static and dynamic games under complete and incomplete information. The course emphasizes theoretical foundations of game theory and develops knowledge on the standard equilibrium notions in different environments. Motivations are drawn from topics in industrial organization, auction and market design, as well as information engineering and networked systems. Also social and economic contexts will be covered in order to put the engineering and industrial organization applications into a broader perspective.
1. Introduction
2. Strategic Form Games
3. Dynamic Games with Complete Information
4. Static Games with Incomplete Information
5. Dynamic Games with Incomplete Information
6. Auction Theory
7. Mechanism Design would like to participate in this course.

Lernziele und Kompetenzen:

Students:

  • acquire a more formal understanding of game theoretical concepts.

  • learn to differentiate between different types of games

  • learn to apply appropriate solution concepts.

  • learn to model real world problems as games with strategies, players, and payoffs.

  • learn to model uncertainty and information in bayesian games.

  • learn to make predictions in real world problems based on equilibrium concepts of games.

Literatur:

1. Vega-Redondo, F. (2003), Economics and the Theory of Games, Cambridge, Cambridge University Press.
2. Fudenberg, D. and Tirole, J. (2007), Game Theory, Cambridge, MIT Press.
3. Krishna, V. (2002), Auction Theory, Academic Press.

Bemerkung:

http://www.wirtschaftstheorie.wiso.uni-erlangen.de/de/lehre/vorlesungen-master/game-theory-with-applications-to-information-engineering/

Organisatorisches:

Please contact Edmund Baker in case you have any questions or if you would like to participate in this course.


Weitere Informationen:

Keywords: GTIE Game Theory with Applications to Information Engineering ASC
www: https://www.studon.fau.de/studon/goto.php?target=crs_1689940

UnivIS is a product of Config eG, Buckenhof